Wilson (TN) Investor Pulse Report (2025-Q4)

Real Estate comprehensive investment analysis of investor activity in the Wilson (TN) single-family residential housing market. Discover ownership trends, transaction patterns, and market insights.

Market Overview

Total SFR Properties in Wilson (TN)
47,972
Total Investors in Wilson (TN)
6,641
Investor Owned SFR in Wilson (TN)
7,028(14.7%)
Individual Landlords
Landlords
5,903
SFR Owned
4,754
Corporate Landlords
Landlords
738
SFR Owned
2,395
Understanding Property Counts

Distinct Count Methodology: The total 7,028 represents distinct properties — if 2+ landlords co-own the same property, it's counted only once. This provides the most accurate representation of investor-owned SFR properties.

Why totals don't sum: When broken down by Individual vs Corporate ownership (or by tier), properties with co-ownership across categories are counted once per category. For example, if a property is co-owned by an individual AND a corporate landlord, it appears in both counts. This is why Individual + Corporate totals may exceed the distinct total by 2-4%, and percentages may sum to 100-104%.

Market Visualization

Chart Section2 Coverage
Chart Section3 Ownership Donut
Chart Section4 Distribution

Key Market Insights

Mom-and-Pop Landlords Dominate Wilson County with 74.4% of Holdings, Securing 27.4% Deeper Discounts Than Homeowners
Investors own 7,028 SFR properties in Wilson County (14.7% of the market), with small mom-and-pop landlords controlling a commanding 74.4% of those assets versus 11.2% for institutional investors. In Q4 2025, landlords demonstrated significant purchasing power, acquiring 14.5% of all homes sold while paying an average 27.4% less than traditional homeowners. Both small and large investors remain in accumulation mode, acting as strong net buyers and signaling continued confidence in the local market.
Landlord Owned Current Holdings
Investors own 7,028 SFR properties in Wilson County, with individuals holding a 67.6% majority.
The majority of investor-owned properties are held with cash (5,239) rather than financing (1,789). The portfolio is heavily rental-focused, with 97.2% of all investor-owned SFR properties (6,833) classified as rented.
Landlord vs Traditional Homeowners
In Q4 2025, landlords paid 27.4% less than homeowners, securing a $162,082 average discount.
The landlord purchasing discount widened dramatically to 27.4% in Q4, up from just 11.3% in Q3 and 6.9% in Q1. The average landlord acquisition price in Q4 ($429,740) also represented a dip from the 2025 annual average ($499,333), suggesting a cooling market or a focus on value-add properties.
Current Quarter Purchases
Landlords purchased 14.5% of all single-family homes sold in Wilson County during Q4 2025.
Mom-and-pop investors (1-10 properties) dominated acquisition activity, accounting for 67.1% of all landlord purchases. In contrast, institutional investors (1000+ properties) made up just 6.1% of purchases. The quarter saw 51 new single-property landlords enter the market.
Ownership by Tier
Mom-and-pop landlords (1-10 properties) control a commanding 74.4% of investor-owned homes in Wilson County.
In Q4, institutional investors paid 8.0% less per property than new single-property landlords ($396,494 vs $430,860). Despite their pricing advantage, institutions only hold an 11.2% share of investor properties and remain net buyers, signaling continued accumulation.
Ownership by Tier & Type
Company ownership becomes the majority for portfolios larger than 10 properties, crossing the threshold at the 11-20 property tier.
Individuals dominate the smallest tiers, holding 90.5% of single-property portfolios and 72.5% of 3-5 property portfolios. Conversely, companies control 95.0% of properties in the 21-50 tier and 98.9% in the 51-100 tier, showing a clear structural shift as portfolio size increases.
Geographic Distribution
Investor activity in Wilson County is highly concentrated, with two zip codes, 37122 and 37087, containing 78.5% of all investor-owned properties.
These core areas also have high investor penetration rates, with 17.2% of all SFRs in 37087 and 12.7% in 37122 being investor-owned. Several smaller zip codes show 100% investor ownership, but these represent niche areas with very few total properties.
Historical Transactions
Institutional investors sourced 33.3% of their Q4 purchases from other landlords, while both they and all landlords remained strong net buyers.
Overall, landlords maintained a robust 2.4x buy-to-sell ratio in Q4 (96 buys vs 40 sells). Institutional investors were even more aggressive accumulators, with a 6.0x ratio (6 buys vs 1 sell), signaling strong confidence in the market.
Current Quarter Transactions
Landlords were involved in 11.2% of all Wilson County home transactions in Q4 2025, totaling 96 purchases.
Institutional investors demonstrated pricing power, paying 8.0% less than new single-property landlords ($396,494 vs $430,860). Institutions also sourced 33.3% of their properties from other landlords, compared to only 9.8% for the smallest investors.

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Current Holdings Portfolio

Analysis of landlord property holdings by type, financing method, and owner category

Chart Section5 Holdings
Key Insight
Investors own 7,028 SFR properties in Wilson County, with individuals holding a 67.6% majority.
Detailed Findings

Investors hold a significant 14.7% share of the single-family residential market in Wilson County, with a total portfolio of 7,028 properties.

The market is defined by individual ownership, with 4,754 properties (67.6%) held by individuals compared to 2,395 properties (34.1%) held by companies. This is further reflected in the number of landlords, where individuals comprise 88.9% of all investor entities (5,903 of 6,641).

Cash is the preferred method for holding property, with 5,239 homes owned outright, nearly three times the number of financed properties (1,789). This suggests a well-capitalized investor base less susceptible to interest rate fluctuations.

The investor portfolio is overwhelmingly geared towards rentals. A total of 6,833 properties are rented, accounting for 97.2% of the entire investor-owned SFR stock, underscoring the primary role these properties play in the local rental market.

The high concentration of individual landlords and cash-owned properties indicates that the backbone of Wilson County's rental market consists of small, financially stable operators rather than large, leveraged institutions.

Acquisition Timing & Pricing

Comparison of acquisition prices between landlords and traditional homeowners

Key Insight
In Q4 2025, landlords paid 27.4% less than homeowners, securing a $162,082 average discount.
Detailed Findings

Investors in Wilson County demonstrated exceptional purchasing power in Q4 2025, acquiring properties for an average price of $429,740. This was a staggering 27.4% less than the $591,822 paid by traditional homeowners, translating to a cash discount of $162,082 per property.

The price gap between landlords and homeowners has not been static; it widened significantly throughout the year. The 27.4% discount in Q4 is a sharp increase from 17.0% in Q2 and just 6.9% in Q1, indicating an accelerating ability for investors to find and secure undervalued properties.

While property values have appreciated significantly since the 2020-2023 period (from $392,084 to a 2025 average of $499,333), the Q4 landlord purchase price of $429,740 is notably lower than the yearly average. This may signal that investors are targeting properties requiring renovation or are capitalizing on a softening at the end of the year.

The consistent and growing discount suggests a sophisticated acquisition strategy among investors, likely involving off-market deals, distressed properties, or bulk purchases that are unavailable to the average homebuyer.

Chart Section6 Prices
Chart Section6 Prices Alt
Chart Section6 Trends
Chart Section6 Yoy Comparison

Current Quarter Purchase Summary

Analysis of Q4 2025 purchase activity by investor tier and type

Chart Section7 Purchases
Chart Section7 Tiers
Key Insight
Landlords purchased 14.5% of all single-family homes sold in Wilson County during Q4 2025.
Detailed Findings

Investor activity accounted for 14.5% of the total market in Q4 2025, with landlords acquiring 74 of the 510 SFR properties sold in Wilson County.

The driving force behind these purchases were small-scale investors. Mom-and-pop landlords (owning 1-10 properties) were responsible for 55 purchases, representing 67.1% of all investor acquisitions during the quarter.

New entrants are a key component of this activity, with 51 new landlords purchasing their first investment property. This group alone accounted for 47.6% of all properties bought by investors in Q4.

In stark contrast, institutional investors with portfolios of over 1,000 properties played a minor role, purchasing only 5 properties, or 6.1% of the investor total.

This data clearly shows the market's growth is fueled by an influx of new and small landlords, rather than an expansion by large-scale corporate entities.

Ownership by Purchase Tier

Distribution of investor-owned properties across portfolio size tiers

Key Insight
Mom-and-pop landlords (1-10 properties) control a commanding 74.4% of investor-owned homes in Wilson County.
Detailed Findings

The investor landscape in Wilson County is overwhelmingly dominated by small-scale operators. Mom-and-pop landlords, defined as those owning 1-10 properties, control 74.4% of all investor-owned SFRs.

Single-property landlords are the largest single segment, holding 4,221 properties, which constitutes 58.3% of the entire investor portfolio. This highlights the decentralized nature of the local rental market.

Conversely, institutional investors with portfolios exceeding 1,000 properties control a much smaller but still significant share of 11.2% (811 properties). This demonstrates a concentrated ownership at the top end of the market, but one that is dwarfed by the collective power of small investors.

Mid-size landlords (11-1,000 properties) bridge the gap, collectively owning the remaining 14.4% of the investor-owned housing stock.

This distribution challenges the narrative of a market controlled by large corporations, revealing that the vast majority of rental housing in Wilson County is provided by local, small-scale landlords.

Chart Section8 Distribution
Chart Section8 Prices
Chart Section8 Prices Q4
Chart Section8 Yoy Comparison

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Ownership by Tier & Owner Type

Breakdown of individual vs corporate ownership across portfolio tiers

Chart Section9 Ownership
Chart Section9 Growth
Chart Section9 Growth Q4
Chart Section9 Yoy Comparison
Key Insight
Company ownership becomes the majority for portfolios larger than 10 properties, crossing the threshold at the 11-20 property tier.
Detailed Findings

A distinct ownership pattern emerges when segmenting by portfolio size: individuals dominate small portfolios while companies control larger ones. Individual investors own the vast majority of properties in the smallest tiers, including 90.5% of single-property portfolios and 78.0% of two-property portfolios.

The transition to corporate ownership occurs definitively at the 11-20 property tier, where companies own 70.2% of the properties, surpassing individuals for the first time.

Beyond this crossover point, company dominance becomes nearly absolute. In the 21-50 property tier, companies own 95.0% of the homes, and in the 51-100 property tier, their share rises to 98.9%.

This clear structural divide indicates that while individuals form the foundation of the rental market, scaling a portfolio beyond 10 properties in Wilson County is typically done under a corporate structure for legal, financial, or operational reasons.

Even in the large 101-1,000 property tier, a surprising 34.7% of properties are still held by individuals, suggesting some high-net-worth individuals operate large portfolios without incorporation.

Geographic Distribution

Regional breakdown of investor activity and ownership patterns

Key Insight
Investor activity in Wilson County is highly concentrated, with two zip codes, 37122 and 37087, containing 78.5% of all investor-owned properties.
Detailed Findings

Geographic analysis reveals extreme concentration of investor ownership within Wilson County. Just two zip codes, 37122 (Mt. Juliet) and 37087 (Lebanon), account for a combined 5,520 properties, representing 78.5% of the county's entire investor-owned SFR inventory.

The zip code 37122 holds the highest raw count with 2,792 investor properties, while 37087 follows closely with 2,728 properties.

These areas of high concentration also exhibit significant market penetration. Investors own 17.2% of all single-family homes in 37087 and 13.5% in 37090, rates well above the county-wide average of 14.7%.

While some smaller zip codes technically have higher ownership rates, such as several showing 100%, these areas have negligible housing stock and do not represent the primary focus of investor activity.

This data indicates that investor strategy is not diffuse but is targeted at specific, high-inventory submarkets within Wilson County.

Chart Section10 Top Regions
Chart Section10 Top Pct

Historical Transactions

Buy/sell transaction trends over time for all landlords and institutional investors

Chart Section11 Buysell
Chart Section11 Buysell Price
Chart Section11 Yoy All Landlords
Chart Section11 Institutional
Chart Section11 Institutional Price
Chart Section11 Yoy Institutional
Key Insight
Institutional investors sourced 33.3% of their Q4 purchases from other landlords, while both they and all landlords remained strong net buyers.
Detailed Findings

Transaction data from Q4 2025 shows investors are in a clear accumulation phase. Landlords were strong net buyers, purchasing 96 properties while selling only 40, for a net gain of 56 properties and a buy-to-sell ratio of 2.4-to-1.

This trend of net buying has been consistent, with landlords adding 300 net properties in 2025 and 325 in 2024, demonstrating sustained, long-term portfolio growth.

Institutional investors (1,000+ properties) are also expanding their footprint, not divesting. In Q4, they purchased 6 properties and sold only 1, showing strong acquisitive pressure. For the full year 2025, they were net buyers by a 2-to-1 margin (18 buys vs 9 sells).

Data from Q4 transactions reveals that institutional buyers are more likely to acquire properties from existing landlords. They sourced 33.3% of their new acquisitions from other investors, compared to just 9.8% for new mom-and-pop buyers, indicating a more sophisticated, insider-focused acquisition channel.

Current Quarter Transactions

Q4 2025 transaction analysis by tier, price, and inter-landlord activity

Key Insight
Landlords were involved in 11.2% of all Wilson County home transactions in Q4 2025, totaling 96 purchases.
Detailed Findings

In Q4 2025, landlords were a significant force in the market, participating in 11.2% of all SFR transactions with 96 total purchases.

Small mom-and-pop investors (Tiers 01-04) drove the majority of this activity, conducting 67 of the 96 landlord transactions.

A clear pricing advantage emerges with scale. Institutional investors (Tier 09) paid an average of $396,494 per property, which is 8.0% less than the $430,860 paid by new single-property landlords (Tier 01). This suggests larger players leverage experience and connections to secure better deals.

The source of acquisitions also differs by investor size. Institutional buyers were far more likely to purchase from other investors, with 33.3% of their Q4 buys coming from other landlords. In contrast, new landlords, likely buying on the open market, sourced only 9.8% of their properties from fellow investors.

This reveals a more insular, efficient market for larger players, who trade assets among themselves more frequently than smaller investors do.

Chart Section12 Transactions
Chart Section12 Prices
Chart Section12 Prices Detail

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Executive Summary

Wilson County's investor market is dominated by small landlords (74.4% of holdings) who secured deep 27.4% discounts in Q4.
Holdings
Investors own 7,028 single-family residential properties in Wilson County, representing 14.7% of the total market. The portfolio is primarily held by individuals, who own 4,754 properties (67.6%), while companies own 2,395 (34.1%).
Pricing
Landlords paid an average of 27.4% less than traditional homeowners in Q4 2025, securing a substantial discount of $162,082 per property ($429,740 vs $591,822).
Activity
In Q4, landlords purchased 14.5% of all homes sold (74 properties), with activity fueled by new entrants as 51 new single-property landlords joined the market.
Market Share
Small mom-and-pop landlords (1-10 properties) are the definitive market leaders, controlling 74.4% of all investor-owned housing, while large institutional investors (1000+) hold a much smaller 11.2% share.
Ownership Type
Individual investors dominate smaller portfolios, but companies become the majority owners for portfolios larger than 10 properties, with the crossover occurring at the 11-20 property tier.
Transactions
Both landlords and institutional investors were strong net buyers in Q4 2025. All landlords had a 2.4x buy-to-sell ratio (96 buys vs 40 sells), while institutions showed even stronger accumulation with a 6.0x ratio (6 buys vs 1 sell).
Market Narrative

The investor market in Wilson County, Tennessee, is robust and characterized by the dominance of small-scale operators. Investors command a significant 14.7% of the single-family housing market, owning 7,028 properties. This landscape is not a corporate monolith; it is built on a foundation of individual owners who hold 67.6% of the assets. The market structure is definitively bottom-heavy, with mom-and-pop landlords (1-10 properties) controlling a commanding 74.4% of the investor-owned housing stock, dwarfing the 11.2% share held by large institutional firms.

In Q4 2025, investor behavior signaled strong confidence and sophisticated execution. Landlords were active buyers, acquiring 14.5% of all homes sold, and demonstrated remarkable pricing power by paying an average of 27.4% less than traditional homeowners—a discount of over $162,000 per home. This activity was propelled by an influx of 51 new landlords buying their first rental property. Far from divesting, both small and large investors are in an accumulation phase, with landlords overall acting as net buyers at a 2.4-to-1 ratio, and institutions at an even more aggressive 6-to-1 ratio.

The key takeaway for the Wilson County housing market is the presence of a healthy, decentralized rental market led by local landlords. These investors are effectively identifying value and expanding their portfolios, signaling a strong belief in the area's economic future. While a professionalized institutional segment exists and operates with greater efficiency—paying less per door and trading more frequently among peers—the market's backbone remains the thousands of individual investors who supply the vast majority of its rental housing.

About This Report

Report Methodology

This report analyzes BatchData's Investor Pulse dataset, covering single-family residential (SFR) investor activity across the United States.

Data is extracted from 15 CSV files covering ownership, transactions, and pricing trends, then analyzed using AI-powered insights.

Property Counting Methodology:

Distinct Counts: All headline totals represent distinct properties. If 2+ landlords co-own the same property, it's counted only once. This provides accurate market representation.

Category Breakdowns: When analyzing by tier (01-09), owner type (Individual/Corporate), or occupancy status, properties with co-ownership across categories are counted once per category. This causes breakdowns to sum 2-4% higher than totals, and percentages may sum to 100-104%. This is expected and reflects co-ownership patterns.

TierPropertiesCategory
01-041-10Mom-and-Pop
05-0711-100Mid-Size
08101-1000Large
091000+Institutional
About BatchData

BatchData provides comprehensive real estate data and analytics, offering insights into property ownership, investor activity, and market trends across the United States.

The Investor Pulse dataset tracks single-family residential (SFR) investor behavior at national, state, county, and MSA levels.

For more information, visit batchdata.io or explore our API documentation.

Data Freshness
Report GeneratedMarch 19, 2026 at 03:04 AM
Data PeriodQ4 2025
Geography LevelCounty
GeographyWilson (TN)
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Chart Section2 Coverage
Chart Section2 Coverage
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Chart Section3 Ownership Donut
Chart Section3 Ownership Donut
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Chart Section3 Ownership Bar
Chart Section3 Ownership Bar
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Chart Section4 Distribution
Chart Section4 Distribution
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Chart Section5 Holdings
Chart Section5 Holdings
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Chart Section6 Prices
Chart Section6 Prices
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Chart Section6 Prices Alt
Chart Section6 Prices Alt
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Chart Section6 Yoy Comparison
Chart Section6 Yoy Comparison
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Chart Section6 Trends
Chart Section6 Trends
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Chart Section7 Purchases
Chart Section7 Purchases
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Chart Section7 Tiers
Chart Section7 Tiers
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Chart Section8 Distribution
Chart Section8 Distribution
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Chart Section8 Prices
Chart Section8 Prices
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Chart Section8 Prices Q4
Chart Section8 Prices Q4
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Chart Section8 Prices 2020
Chart Section8 Prices 2020
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Chart Section8 Yoy Comparison
Chart Section8 Yoy Comparison
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Chart Section9 Ownership
Chart Section9 Ownership
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Chart Section9 Growth
Chart Section9 Growth
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Chart Section9 Growth Q4
Chart Section9 Growth Q4
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Chart Section9 Yoy Comparison
Chart Section9 Yoy Comparison
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Chart Section10 Top Regions
Chart Section10 Top Regions
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Chart Section10 Top Pct
Chart Section10 Top Pct
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Chart Section11 Buysell
Chart Section11 Buysell
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Chart Section11 Buysell Price
Chart Section11 Buysell Price
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Chart Section11 Yoy All Landlords
Chart Section11 Yoy All Landlords
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Chart Section11 Institutional
Chart Section11 Institutional
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Chart Section11 Institutional Price
Chart Section11 Institutional Price
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Chart Section11 Yoy Institutional
Chart Section11 Yoy Institutional
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Chart Section12 Transactions
Chart Section12 Transactions
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Chart Section12 Prices
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Chart Section12 Prices Detail
Chart Section12 Prices Detail